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Algorithmic and Stochastic Representations of Gene Regulatory Networks and Protein-Protein Interactions


Alexiou Athanasios*, Chatzichronis Stylianos, Asma Perveen, Abdul Hafeez and Ghulam Md Ashraf *  


The impact of Protein-Protein Interactions on physiologic functions and biological structures is a challenging task and a research field of great interest. For years researchers aim to identify their importance and effects, resulting in remarkable discoveries. Those findings are limited though by restrictions in technology, lack of necessary scientific knowledge and the complex nature of the biological systems. Due to these factors and the difficulty in distinguishing their physiological processes, much effort to explain their functionality has been put through the stochastic and computational modeling. Such primary stochastic methods are the Biological Networks and their applications. The current review focuses on analyzing in depth the use and the results of those stochastic approaches and algorithms.


Bioambients Calculus, Biological Networks, COPASI Software, Evolutionary Algorithms Genetic Algorithms, Gene Regulatory Networks, Petri Nets, Protein-Protein Interactions


Novel Global Community Educational Foundation, AFNP Med Austria, Haidingergasse 29, 1030 Wien, Glocal School of Life Sciences, Glocal University, Mirzapur Pole, Saharanpur, Uttar Pradesh, Glocal School of Pharmacy, Glocal University, Mirzapur Pole, Saharanpur, Uttar Pradesh, King Fahd Medical Research Center, King Abdulaziz University, Jeddah

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